InfoAFYA™ Signal: AI-Powered Community Feedback for Primary Health Systems

InfoAFYA™ Signal is a scalable community feedback infrastructure that lets households and CHVs report service issues (e.g., stockouts, mistreatment, delays) through everyday channels like SMS or WhatsApp.

Reports are interpreted, organized, and routed to county teams for timely action, linked to existing response procedures so problems move from “heard” to handled.

Key Benefits

  • Real-time visibility: Surface service gaps quickly and spot patterns early.
  • Faster resolution: Route issues to the right team with clear follow-up steps.
  • Community trust: Give people a safe, simple way to be heard and see results.
  • Lower program costs: Replace ad-hoc hotlines and paper logs with a structured, repeatable process.
  • Equity insights: Track who is affected, where, and how often to inform fair resource allocation.

Why Health Leaders Use It

  • Practical for low-tech settings: Works on basic phones and through CHV touch points.
  • Built for the public sector: Mirrors approval flows, Standard Operating Procedures (SOPs), and accountability needs.
  • Standards-ready: Designed for interoperability and clean hand-offs to existing systems.
  • Two-way by design: Pairs naturally with InfoAFYA™ (household messaging) to create a full feedback loop.

From report to resolution

1
Report
Households or CHVs share an issue by message (SMS Short Code or Chatbot) during routine touchpoints.
2
Organize
Incoming reports are grouped by topic, location, and urgency.
3
Route
Items go to the responsible team with clear next actions.
4
Resolve & Close the Loop
Actions are logged and communities get updates, building trust.

Common questions from health teams about InfoAFYA™ Signal

What kinds of issues can be reported?

Service availability, supply gaps, wait times, referral delays, respectful care concerns, and accessibility barriers, among others.

Issues are grouped by theme, location, and urgency, then sent to the responsible unit with clear next steps aligned to existing procedures. It’s all customizable.

Data ownership follows public-sector and partner agreements. DPE treats program data as the partner’s, with use limited to agreed purposes.

AI helps categorize and summarize reports; human reviewers and designated managers remain in control of decisions and approvals.

Have Additional Questions?

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